Intelligent Agents for Patient Management

5. The method of claim 1, wherein the imaging processing technique comprises one or more of segmentation of a vascular tree, detection of vascular lesions, classification of detected lesions into clinical sub-types, or extraction of geometry features for physiological modeling.

6. The method of claim 1, wherein the patient management plan comprises patient logistics information corresponding to a medical facility.

7. The method of claim 1, further comprising training the plurality of intelligent agents by curriculum training to first learn a first set of actions maximizing a positive outcome for patient irrespective of cost and time efficiency, and then learn a second set of actions improving the cost and time efficiency.

8. The method of claim 1, further comprising training the first intelligent agent, the second intelligent agent, and the third intelligent agent using ground truth including a human expert's knowledge.

12. The system of claim 10, wherein the imaging processing technique comprises one or more of segmentation of a vascular tree, detection of vascular lesions, or extraction of geometry features for physiological modeling.

13. The system of claim 10, wherein the patient management plan comprises patient logistics information corresponding to a medical facility.

14. The system of claim 10, wherein the third intelligent agent is further configured to generate an optimal drug therapy plan based on one or more of (a) the pre-test dataset, (b) the clinically relevant information, (c) the data collected from the diagnostic imaging test, and (d) the diagnostic marker.